American Airlines Group Backtested Returns
Macroaxis considers American Airlines to be not too volatile. American Airlines Group
secures Sharpe Ratio (or Efficiency) of -0.363 which signifies that American Airlines Group
had -0.363% of return per unit of standard deviation over the last 1 month. Macroaxis philosophy in foreseeing risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. American Airlines Group Inc exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm American Airlines Group Mean Deviation
of 1.47 and Risk Adjusted Performance
of (0.20) to double-check risk estimate we provide. Macroaxis gives American Airlines performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 1.9743 which signifies that as market goes up, the company is expected to significantly outperform it. However, if the market returns are negative, American Airlines will likely underperform.. Even though it is essential to pay attention to American Airlines Group historical returns, it is always good to be careful when utilizing equity current trading patterns. Macroaxis philosophy in foreseeing future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. American Airlines Group Inc exposes twenty-eight different technical indicators which can help you to evaluate its performance. American Airlines Group has expected return of -0.657%. Please be advised to confirm American Airlines Group Treynor Ratio, Expected Short fall and the relationship between Jensen Alpha and Potential Upside to decide if American Airlines Group past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.58 |
American Airlines Group Inc has modest predictability. Overlapping area represents the amount of predictability between American Airlines time series from February 21, 2017 to March 8, 2017 and March 8, 2017 to March 23, 2017. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of American Airlines Group price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current American Airlines price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.58|
|Spearman Rank Test|| 0.29|
|Price Variance|| 1.78|
|Lagged Price Variance|| 0.41|
American Airlines Lagged Returns